Comparison of Different Face Recognition Method Based On PCA
Journal Title: INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY - Year 2014, Vol 10, Issue 4
Abstract
This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using: (a) Eigen faces and (b) applying Principal Component Analysis (PCA) on image. The aim is to successfully demonstrate the human face recognition using Principal component analysis & comparison of Manhattan distance, Eucleadian distance & Chebychev distance for face matching.
Authors and Affiliations
Rajib Saha, Debotosh Bhattacharjee, Sayan Barman
Keywords
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- EP ID EP653985
- DOI 10.24297/ijmit.v10i4.626
- Views 147
- Downloads 0
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